M. Soroush et C. Kravaris, A CONTINUOUS-TIME FORMULATION OF NONLINEAR MODEL-PREDICTIVE CONTROL, International Journal of Control, 63(1), 1996, pp. 121-146
Citations number
27
Categorie Soggetti
Controlo Theory & Cybernetics","Robotics & Automatic Control
A model predictive approach is used to derive a continuous-time, nonli
near feedback control law for open-loop stable, single-input single-ou
tput processes with deadtime. The derived model predictive control law
minimizes a quadratic performance index in the presence of input cons
traints and process deadtime. A key feature of the control law is that
, for its implementation, one does not need to perform an online optim
ization. In the absence of constraints, the control law in special cas
es is identical to the feedback controllers that have already been der
ived using a geometric approach. The connections between the derived c
ontrol law and (a) the globally linearizing control and (b) the linear
internal model control are established. The model predictive approach
provides some insight into the problem of constraint handling in geom
etric control methods. The application of the theory is illustrated by
a chemical reactor example.